In this paper, we propose a parallelized optimization-based framework for autonomous and safe control of quadrotor Unmanned Aerial Vehicles (UAVs). We achieve this by designing a real-time optimal trajectory planner and a time-varying collision chance-constrained model predictive controller. We consider an obstacle with unknown dynamics in the operational space of the UAV and plan time-optimal transfer maneuvers using the shifted Chebyshev pseudospectral method. We propose a novel sigmoid function-based approximation to the conditional collision avoidance constraint of UAV trajectory segments and enable automatic differentiation for achieving real-time implementation. Given the uncertain positions of the UAV and the obstacle, we propose a time-varying probability margin for the collision avoidance constraint and design a chance-constrained model predictive controller to track the reference optimal trajectory with minimum tracking error and avoid collisions in real-time. Moreover, we parallelize the trajectory planner and the controller to address their asynchronous computational execution. The scalability and effectiveness of the proposed architecture are evaluated by performance analysis through Monte Carlo and numerical simulations. Finally, the real-time feasibility of the integrated approach is validated by indoor high-speed maneuvers and dynamic collision avoidance experiments.
{"title":"Fast trajectory optimization with time-varying chance-constrained model predictive control of quadcopters for dynamic collision avoidance","authors":"D.M.K.K. Venkateswara Rao , Hamed Habibi , Holger Voos","doi":"10.1016/j.ast.2026.111815","DOIUrl":"10.1016/j.ast.2026.111815","url":null,"abstract":"<div><div>In this paper, we propose a parallelized optimization-based framework for autonomous and safe control of quadrotor Unmanned Aerial Vehicles (UAVs). We achieve this by designing a real-time optimal trajectory planner and a time-varying collision chance-constrained model predictive controller. We consider an obstacle with unknown dynamics in the operational space of the UAV and plan time-optimal transfer maneuvers using the shifted Chebyshev pseudospectral method. We propose a novel sigmoid function-based approximation to the conditional collision avoidance constraint of UAV trajectory segments and enable automatic differentiation for achieving real-time implementation. Given the uncertain positions of the UAV and the obstacle, we propose a time-varying probability margin for the collision avoidance constraint and design a chance-constrained model predictive controller to track the reference optimal trajectory with minimum tracking error and avoid collisions in real-time. Moreover, we parallelize the trajectory planner and the controller to address their asynchronous computational execution. The scalability and effectiveness of the proposed architecture are evaluated by performance analysis through Monte Carlo and numerical simulations. Finally, the real-time feasibility of the integrated approach is validated by indoor high-speed maneuvers and dynamic collision avoidance experiments.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"174 ","pages":"Article 111815"},"PeriodicalIF":5.8,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1016/j.ast.2026.111760
Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Jie Li
Task allocation in UAV swarms is becoming increasingly complex due to the complexity of tasks, communication limitations, and the robustness of the allocation algorithm. Combining reinforcement learning and task allocation demonstrates great potential in enhancing algorithm performance and optimizing communication. However, existing research has overlooked the structural conflict between task conflicts and communication overhead, which leads to significant challenges in exploration and training instability. To this end, this paper introduces the Task Allocation with Communication Coordination (TACC) method, which aims to train a gated mechanism strategy to coordinate communication timing while balancing transmission efficiency and allocation reliability. First, the TACC is formalized as a POMDP, for which the channel access and other features are designed to facilitate observations. Actions are inter-agent adaptive gating mechanisms, and the shared reward reflects global task conflicts. Second, to address the asynchronous learning under the CTDE, an asynchronous experience aggregation method is proposed to align trajectories from different agents. Then, the MOCPO is proposed, which applies constrained policy optimization directly to the policy gradient via a Lagrangian loss, thereby stabilizing gated communication early in training and enhancing sample efficiency and convergence. The computational complexity, boundary conditions, convergence, and communication complexity of the TACC are theoretically analyzed. Finally, sim-to-real experiments are conducted in the HIL environment, and the results demonstrate the optimal trade-off achieved by the proposed method and its overall state-of-the-art approaches. Ablation studies and hyperparameter experiments further validated the stability of MOCPO. Specifically, the communication strategy is effectively deployed in the RK3588 SOC, and the flight experiment demonstrates the superior scheduling outcomes of TACC within the ten-UAV swarm in the search and rescue scenario.
{"title":"Task allocation with communication coordination in UAV swarms via asynchronous multi-Objective policy optimization","authors":"Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Jie Li","doi":"10.1016/j.ast.2026.111760","DOIUrl":"10.1016/j.ast.2026.111760","url":null,"abstract":"<div><div>Task allocation in UAV swarms is becoming increasingly complex due to the complexity of tasks, communication limitations, and the robustness of the allocation algorithm. Combining reinforcement learning and task allocation demonstrates great potential in enhancing algorithm performance and optimizing communication. However, existing research has overlooked the structural conflict between task conflicts and communication overhead, which leads to significant challenges in exploration and training instability. To this end, this paper introduces the Task Allocation with Communication Coordination (TACC) method, which aims to train a gated mechanism strategy to coordinate communication timing while balancing transmission efficiency and allocation reliability. First, the TACC is formalized as a POMDP, for which the channel access and other features are designed to facilitate observations. Actions are inter-agent adaptive gating mechanisms, and the shared reward reflects global task conflicts. Second, to address the asynchronous learning under the CTDE, an asynchronous experience aggregation method is proposed to align trajectories from different agents. Then, the MOCPO is proposed, which applies constrained policy optimization directly to the policy gradient via a Lagrangian loss, thereby stabilizing gated communication early in training and enhancing sample efficiency and convergence. The computational complexity, boundary conditions, convergence, and communication complexity of the TACC are theoretically analyzed. Finally, sim-to-real experiments are conducted in the HIL environment, and the results demonstrate the optimal trade-off achieved by the proposed method and its overall state-of-the-art approaches. Ablation studies and hyperparameter experiments further validated the stability of MOCPO. Specifically, the communication strategy is effectively deployed in the RK3588 SOC, and the flight experiment demonstrates the superior scheduling outcomes of TACC within the ten-UAV swarm in the search and rescue scenario.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"174 ","pages":"Article 111760"},"PeriodicalIF":5.8,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1016/j.ast.2026.111816
Yongjie Shu , Qingkai Meng , Shiyi Wei , Mingkai Ding , Yunyi Wang , Xixing Long , Zhifang Ke , Wei Wei
By actively modulating thrust directions, multi-rotor thrust-vector aerial vehicles (TVAVs) overcome the underactuation inherent in conventional coplanar multirotor systems, thereby enabling enhanced maneuverability, full-attitude control, and robust operation in confined or highly disturbed environments. With increasing structural complexity and actuation redundancy, research efforts have progressively evolved from configuration design and aerodynamic analysis toward system-level dynamic modeling and, more recently, data-driven methodologies. This paper presents a comprehensive review of the research evolution in multi-rotor TVAVs, beginning with a summary of configuration and structural analysis methods that explicitly consider thrust-vectoring layouts and aerodynamic effects, and their influence on attainable force spaces, aerodynamic force distribution, and control capabilities. Subsequently, dynamic modeling approaches and investigations into system dynamic properties are reviewed, together with model-based trajectory generation and full-attitude control methods that ensure dynamic feasibility. Furthermore, recent advances in data-driven and reinforcement learning–based methods are systematically discussed, highlighting their potential in addressing strong nonlinearities, model uncertainties, and aggressive maneuvering tasks. Finally, the advantages and limitations of different research paradigms are compared, and the central role of control allocation in thrust-vectoring control architectures is examined, with the aim of providing a structured perspective on the evolution from configuration analysis to dynamic modeling and data-driven methods, and of offering insights toward future unified frameworks that integrate structural constraints, aerodynamic characteristics, model-based design, and data-driven intelligence.
{"title":"A General Analysis Framework for Multirotor Thrust-Vectoring Vehicles: From Configuration to Modeling to Data-Driven Approaches","authors":"Yongjie Shu , Qingkai Meng , Shiyi Wei , Mingkai Ding , Yunyi Wang , Xixing Long , Zhifang Ke , Wei Wei","doi":"10.1016/j.ast.2026.111816","DOIUrl":"10.1016/j.ast.2026.111816","url":null,"abstract":"<div><div>By actively modulating thrust directions, multi-rotor thrust-vector aerial vehicles (TVAVs) overcome the underactuation inherent in conventional coplanar multirotor systems, thereby enabling enhanced maneuverability, full-attitude control, and robust operation in confined or highly disturbed environments. With increasing structural complexity and actuation redundancy, research efforts have progressively evolved from configuration design and aerodynamic analysis toward system-level dynamic modeling and, more recently, data-driven methodologies. This paper presents a comprehensive review of the research evolution in multi-rotor TVAVs, beginning with a summary of configuration and structural analysis methods that explicitly consider thrust-vectoring layouts and aerodynamic effects, and their influence on attainable force spaces, aerodynamic force distribution, and control capabilities. Subsequently, dynamic modeling approaches and investigations into system dynamic properties are reviewed, together with model-based trajectory generation and full-attitude control methods that ensure dynamic feasibility. Furthermore, recent advances in data-driven and reinforcement learning–based methods are systematically discussed, highlighting their potential in addressing strong nonlinearities, model uncertainties, and aggressive maneuvering tasks. Finally, the advantages and limitations of different research paradigms are compared, and the central role of control allocation in thrust-vectoring control architectures is examined, with the aim of providing a structured perspective on the evolution from configuration analysis to dynamic modeling and data-driven methods, and of offering insights toward future unified frameworks that integrate structural constraints, aerodynamic characteristics, model-based design, and data-driven intelligence.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"174 ","pages":"Article 111816"},"PeriodicalIF":5.8,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1016/j.ast.2026.111834
Shibin Luo, Shengxian Zheng, Jun Liu, Rui Liu, Daliang Yang
The double-swept waverider maintains excellent aerodynamic performance at high speeds while enhancing low-speed characteristics through vortex-lift effects, offering a promising approach for extending waverider applications across wide flight envelopes. However, existing research on this configuration has predominantly focused on basic aerodynamic features, with limited attention given to stability and controllability. To address this gap, a double-swept waverider with integrated control surfaces was designed using the projection method. And its lift-to-drag characteristics, static stability, and controllability across multiple speed regimes were systematically analyzed. Results indicate that the configuration consistently maintains static stability in both longitudinal and directional, whereas lateral static stability remains relatively weak. Longitudinal and directional control performance proves superior in subsonic conditions compared to supersonic and hypersonic regimes, while lateral controllability improves significantly under hypersonic conditions. Moreover, rudder deflection exerts minimal influence on pitch and roll channels, whereas differential elevon deflection induces significant pitch/yaw coupling effects.
{"title":"Static stability and control characteristics of the double-swept waveriders","authors":"Shibin Luo, Shengxian Zheng, Jun Liu, Rui Liu, Daliang Yang","doi":"10.1016/j.ast.2026.111834","DOIUrl":"10.1016/j.ast.2026.111834","url":null,"abstract":"<div><div>The double-swept waverider maintains excellent aerodynamic performance at high speeds while enhancing low-speed characteristics through vortex-lift effects, offering a promising approach for extending waverider applications across wide flight envelopes. However, existing research on this configuration has predominantly focused on basic aerodynamic features, with limited attention given to stability and controllability. To address this gap, a double-swept waverider with integrated control surfaces was designed using the projection method. And its lift-to-drag characteristics, static stability, and controllability across multiple speed regimes were systematically analyzed. Results indicate that the configuration consistently maintains static stability in both longitudinal and directional, whereas lateral static stability remains relatively weak. Longitudinal and directional control performance proves superior in subsonic conditions compared to supersonic and hypersonic regimes, while lateral controllability improves significantly under hypersonic conditions. Moreover, rudder deflection exerts minimal influence on pitch and roll channels, whereas differential elevon deflection induces significant pitch/yaw coupling effects.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"174 ","pages":"Article 111834"},"PeriodicalIF":5.8,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.ast.2026.111812
Haiwang Li , Yiming Luo , Zhiyu Zhou , Gang Xie , Long Meng , Yuzhu Lou
This study experimentally optimized B-shaped and C-shaped holes on the flat plate and linear cascade models to maximize cooling effectiveness. Adiabatic cooling effectiveness was measured via Pressure-Sensitive Paint experiments, and Response Surface Methodology was used for cooling effectiveness prediction. Additionally, Particle Image Velocimetry experiments were conducted to analyze the flow field. Film holes were arranged on the flat plate and at four streamwise positions of the vane, with a 45° injection angle and no compound angle. Blowing ratios ranged from 0.5 to 2.5 at a density ratio of 1.5. The mainstream Reynolds number based on hole diameter was 10⁴ for flat plate experiments, and 10⁶ based on chord length for cascade experiments. Optimization results further demonstrate the cooling potential of both curved expansion holes. B-shaped holes achieved a maximum effectiveness improvement of 29.6%, while C-shaped holes reached 46.7%. Optimized B-shaped and C-shaped holes suppressed coolant lift-off and achieved full film coverage. The enhanced performance is primarily attributed to the increased spanwise outlet width, which induces jet bifurcation and significantly strengthens lateral coolant spreading via intensified anti-counter-rotating vortex pairs. Optimization effectiveness was highest on the suction side, followed by the flat plate, and lowest on the pressure side. The influence of structural parameters on cooling effectiveness is independent of wall curvature, enabling the application of flat plate optimization results to the vane.
{"title":"Experimental optimization of novel B-shaped and C-shaped holes on flat plate and linear cascade models","authors":"Haiwang Li , Yiming Luo , Zhiyu Zhou , Gang Xie , Long Meng , Yuzhu Lou","doi":"10.1016/j.ast.2026.111812","DOIUrl":"10.1016/j.ast.2026.111812","url":null,"abstract":"<div><div>This study experimentally optimized B-shaped and C-shaped holes on the flat plate and linear cascade models to maximize cooling effectiveness. Adiabatic cooling effectiveness was measured via Pressure-Sensitive Paint experiments, and Response Surface Methodology was used for cooling effectiveness prediction. Additionally, Particle Image Velocimetry experiments were conducted to analyze the flow field. Film holes were arranged on the flat plate and at four streamwise positions of the vane, with a 45° injection angle and no compound angle. Blowing ratios ranged from 0.5 to 2.5 at a density ratio of 1.5. The mainstream Reynolds number based on hole diameter was 10⁴ for flat plate experiments, and 10⁶ based on chord length for cascade experiments. Optimization results further demonstrate the cooling potential of both curved expansion holes. B-shaped holes achieved a maximum effectiveness improvement of 29.6%, while C-shaped holes reached 46.7%. Optimized B-shaped and C-shaped holes suppressed coolant lift-off and achieved full film coverage. The enhanced performance is primarily attributed to the increased spanwise outlet width, which induces jet bifurcation and significantly strengthens lateral coolant spreading via intensified anti-counter-rotating vortex pairs. Optimization effectiveness was highest on the suction side, followed by the flat plate, and lowest on the pressure side. The influence of structural parameters on cooling effectiveness is independent of wall curvature, enabling the application of flat plate optimization results to the vane.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111812"},"PeriodicalIF":5.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.ast.2026.111846
Rongfeng Cui (崔榕峰) , Qiao Zhang (张巧) , Weiwei Zhang (张伟伟) , Wenbo Lu (鲁文博) , Liangjie Gao (高亮杰)
Accurate flow field data provide a robust foundation for analyzing concentrated force distribution and implementing flow control strategies. Nevertheless, current deep neural network methods exhibit limitations in accuracy when applied to reconstruct three-dimensional wing flow fields. To address this challenge, we propose an intelligent flow field reconstruction technique termed physics-constrained Dual-Parallel Attention UNet++ (DPAtt-UNet++). This method utilizes the Unet++ neural network architecture as its backbone, integrating a dual-parallel attention mechanism and nested network structure. Furthermore, a physics-constrained hierarchical loss function is introduced, incorporating the residuals of the governing Navier-Stokes equations as soft constraints to enforce physical consistency during training. Comprehensive evaluations demonstrate that the proposed DPAtt-UNet++ outperforms not only the baseline U-Net by approximately 10% in reconstruction accuracy, but also shows clear improvements over both standard UNet++ and a non-physics-constrained DPAtt-UNet++, validating the effectiveness of the integrated attention mechanism and physical constraints. Tests on wings constructed from different airfoil profiles confirm robust generalization capability across varying flow conditions and geometric shapes. Moreover, the method achieves approximately 2–3 orders of magnitude faster reconstruction speed compared to the Computational Fluid Dynamics (CFD) method in the online prediction phase. These results demonstrate the method can accurately and efficiently reconstruct flow fields for different geometries under various flow conditions.
{"title":"High-fidelity three-dimensional aerodynamic flow prediction on wings with physics-constrained dual-parallel attention UNet++","authors":"Rongfeng Cui (崔榕峰) , Qiao Zhang (张巧) , Weiwei Zhang (张伟伟) , Wenbo Lu (鲁文博) , Liangjie Gao (高亮杰)","doi":"10.1016/j.ast.2026.111846","DOIUrl":"10.1016/j.ast.2026.111846","url":null,"abstract":"<div><div>Accurate flow field data provide a robust foundation for analyzing concentrated force distribution and implementing flow control strategies. Nevertheless, current deep neural network methods exhibit limitations in accuracy when applied to reconstruct three-dimensional wing flow fields. To address this challenge, we propose an intelligent flow field reconstruction technique termed physics-constrained Dual-Parallel Attention UNet++ (DPAtt-UNet++). This method utilizes the Unet++ neural network architecture as its backbone, integrating a dual-parallel attention mechanism and nested network structure. Furthermore, a physics-constrained hierarchical loss function is introduced, incorporating the residuals of the governing Navier-Stokes equations as soft constraints to enforce physical consistency during training. Comprehensive evaluations demonstrate that the proposed DPAtt-UNet++ outperforms not only the baseline U-Net by approximately 10% in reconstruction accuracy, but also shows clear improvements over both standard UNet++ and a non-physics-constrained DPAtt-UNet++, validating the effectiveness of the integrated attention mechanism and physical constraints. Tests on wings constructed from different airfoil profiles confirm robust generalization capability across varying flow conditions and geometric shapes. Moreover, the method achieves approximately 2–3 orders of magnitude faster reconstruction speed compared to the Computational Fluid Dynamics (CFD) method in the online prediction phase. These results demonstrate the method can accurately and efficiently reconstruct flow fields for different geometries under various flow conditions.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111846"},"PeriodicalIF":5.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.ast.2026.111842
Xinzi Liu , Longfei Wang , Wang Lei , Junkui Mao , Chengliang Lv , Dewei Zhang , Yiming Liu , Zhongran Chi
Fractal channels, characterized by high surface-to-volume ratio and geometric flexibility, demonstrate significant potential in turbine blade cooling design. This study experimentally and numerically investigates a turbine blade equipped with a tree-like bionic fractal channel under multi-parameter coupling working conditions, focusing on the effects of blowing ratio, temperature ratio, and mainstream Reynolds number. The results indicate that the three parameters independently influence blade cooling effectiveness with minimal coupling interaction. As temperature ratio increases, the sensitivity of cooling effectiveness to blowing ratio amplifies significantly. Cooling effectiveness improves with higher blowing ratio and lower reynolds number, showing the greatest responsiveness to blowing ratio variations. Consequently, optimal design of bionic fractal cooling architectures must account for operational parameters. The spatial distribution density of tree-like bionic fractal channels at the mid-chord position notably affects localized cooling characteristics, with a 6.5 % enhancement observed in the test region upon increasing channel number. A systematic reduction in fractal channel inlet diameter along the chordwise direction regulates cooling air mass flow rate to match spatially varying heat loads, resulting in a 150 % disparity in internal wall heat transfer coefficients between the blade leading and trailing edges. These findings confirm that fractal channel configuration and geometric parameters are primary factors influencing cooling effectiveness distribution through localised flow modulation, establishing them as critical optimisation targets.
{"title":"Investigation on the cooling characteristics of turbine blades with bionic fractal channels under typical gas-thermal parameters","authors":"Xinzi Liu , Longfei Wang , Wang Lei , Junkui Mao , Chengliang Lv , Dewei Zhang , Yiming Liu , Zhongran Chi","doi":"10.1016/j.ast.2026.111842","DOIUrl":"10.1016/j.ast.2026.111842","url":null,"abstract":"<div><div>Fractal channels, characterized by high surface-to-volume ratio and geometric flexibility, demonstrate significant potential in turbine blade cooling design. This study experimentally and numerically investigates a turbine blade equipped with a tree-like bionic fractal channel under multi-parameter coupling working conditions, focusing on the effects of blowing ratio, temperature ratio, and mainstream Reynolds number. The results indicate that the three parameters independently influence blade cooling effectiveness with minimal coupling interaction. As temperature ratio increases, the sensitivity of cooling effectiveness to blowing ratio amplifies significantly. Cooling effectiveness improves with higher blowing ratio and lower reynolds number, showing the greatest responsiveness to blowing ratio variations. Consequently, optimal design of bionic fractal cooling architectures must account for operational parameters. The spatial distribution density of tree-like bionic fractal channels at the mid-chord position notably affects localized cooling characteristics, with a 6.5 % enhancement observed in the test region upon increasing channel number. A systematic reduction in fractal channel inlet diameter along the chordwise direction regulates cooling air mass flow rate to match spatially varying heat loads, resulting in a 150 % disparity in internal wall heat transfer coefficients between the blade leading and trailing edges. These findings confirm that fractal channel configuration and geometric parameters are primary factors influencing cooling effectiveness distribution through localised flow modulation, establishing them as critical optimisation targets.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111842"},"PeriodicalIF":5.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.ast.2026.111825
Saiqiang Zhang , Gang Li , Wanwu Xu , Jiarong Li
Supersonic airflow acceleration/deceleration profile design is often incorporated as part of nozzle design and widely applied in fields such as hypersonic wind tunnels and scramjet inlet design. However, detailed research on this topic is rarely found in current literature. Profile design methods typically utilize Method of characteristics theory(MOC), which is highly sensitive to the selection of initial value lines and directly impacts the profile characteristics. Starting from the axisymmetric characteristic line theory, this paper proposes and compares three methods for obtaining initial values. Among them, the flow field calculation method exhibits the best uniformity. When combined with this method, optimizing the aspect ratio of a supersonic annular nozzle to 8.24 results in optimal flow field uniformity, with the standard deviation of the exit Mach number being less than 0.002. A variable curvature transition profile design method is proposed, achieving acceleration of airflow from Mach 2 to Mach 4 while ensuring flow field uniformity. Finally, an inverse design approach is adopted for the acceleration profile, optimizing the traditional supersonic diffuser cone section into an isentropic contraction section. At a back pressure of 90 kPa, the total pressure recovery coefficient is 2.123% higher than that of the cone section. The research results demonstrate that the methods proposed in this paper effectively address issues related to flow field uniformity and total pressure loss. Their effectiveness and versatility have been verified in acceleration profiles, annular nozzles, and diffusers, providing reliable theoretical and methodological support for the design of hypersonic engineering equipment
{"title":"Design and simulation research on local acceleration/deceleration profiles in supersonic flow","authors":"Saiqiang Zhang , Gang Li , Wanwu Xu , Jiarong Li","doi":"10.1016/j.ast.2026.111825","DOIUrl":"10.1016/j.ast.2026.111825","url":null,"abstract":"<div><div>Supersonic airflow acceleration/deceleration profile design is often incorporated as part of nozzle design and widely applied in fields such as hypersonic wind tunnels and scramjet inlet design. However, detailed research on this topic is rarely found in current literature. Profile design methods typically utilize Method of characteristics theory(MOC), which is highly sensitive to the selection of initial value lines and directly impacts the profile characteristics. Starting from the axisymmetric characteristic line theory, this paper proposes and compares three methods for obtaining initial values. Among them, the flow field calculation method exhibits the best uniformity. When combined with this method, optimizing the aspect ratio of a supersonic annular nozzle to 8.24 results in optimal flow field uniformity, with the standard deviation of the exit Mach number being less than 0.002. A variable curvature transition profile design method is proposed, achieving acceleration of airflow from Mach 2 to Mach 4 while ensuring flow field uniformity. Finally, an inverse design approach is adopted for the acceleration profile, optimizing the traditional supersonic diffuser cone section into an isentropic contraction section. At a back pressure of 90 kPa, the total pressure recovery coefficient is 2.123% higher than that of the cone section. The research results demonstrate that the methods proposed in this paper effectively address issues related to flow field uniformity and total pressure loss. Their effectiveness and versatility have been verified in acceleration profiles, annular nozzles, and diffusers, providing reliable theoretical and methodological support for the design of hypersonic engineering equipment</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"173 ","pages":"Article 111825"},"PeriodicalIF":5.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1016/j.ast.2025.111606
Rui Cao , Yanbin Liu
{"title":"Corrigendum to “Nonlinear dynamic inversion control with unknown control effectiveness and actuator dynamic [AESCTE 160 (2025), 110036]”","authors":"Rui Cao , Yanbin Liu","doi":"10.1016/j.ast.2025.111606","DOIUrl":"10.1016/j.ast.2025.111606","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"169 ","pages":"Article 111606"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1016/j.ast.2025.111474
Yujie Zhao, Zhiping Li, Han Jiang, Lei Qi
{"title":"Corrigendum to “Multi-objective Lagrangian inverse function stratified Monte Carlo method for quantifying instability risks in compressor aerodynamic systems” [Aerospace Science and Technology Volume 168, Part D (January 2026), 111065]","authors":"Yujie Zhao, Zhiping Li, Han Jiang, Lei Qi","doi":"10.1016/j.ast.2025.111474","DOIUrl":"10.1016/j.ast.2025.111474","url":null,"abstract":"","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"169 ","pages":"Article 111474"},"PeriodicalIF":5.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}